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Updated: Jan 29, 2026

Screening and Identification of Small Peptides Targeting Fibroblast Growth Factor Receptor2 using a Phage Display Peptide Library
Published on: September 30, 2019
Screening for Peptides to Bind and Functionally Inhibit SARS-CoV-2 Fusion Peptide Using Mirrored Combinatorial Phage
Ajay Pal1,2, Neeladri Sekhar Roy3, Matthew Angeliadis1,4
1School of Medicine, University College Dublin, D04 C1P1 Dublin, Ireland.
Researchers explored peptides to inhibit coronaviruses by targeting the spike fusion peptide (FP). While initial peptide screens failed to inhibit SARS-CoV-2 infection, they provided insights for developing future pancoronaviral FP disruptors.
Area of Science:
- Virology
- Biochemistry
- Drug Discovery
Background:
- The conserved spike fusion peptide (FP) of coronaviruses presents a potential target for broad-spectrum antiviral therapies.
- Developing pancoronaviral inhibitors requires identifying molecules that can disrupt conserved viral mechanisms.
Purpose of the Study:
- To identify novel peptide inhibitors targeting the conserved SARS-CoV-2 spike fusion peptide (FP).
- To explore phage display libraries for discovering peptides with potential pancoronaviral inhibitory activity.
Main Methods:
- Screening of a random 7-mer peptide library (NEB PhD-7-mer) against the SARS-CoV-2 FP.
- Synthesis of identified peptides as proteolytically resistant D-peptides.
- Screening of a proteomic-derived phage display library from human disordered regions.
- Molecular dynamics structural modeling to elucidate binding interactions.
Main Results:
- Ten D-peptides from the random library showed no inhibition of SARS-CoV-2 infection in cell culture.
- Two overlapping 14mer peptides from OTUD1 were identified from the proteomic library.
- A synthetic peptide based on OTUD1 sequences did not significantly inhibit viral entry.
- Molecular modeling revealed a stable binding mode between an OTUD1 peptide and the FP, suggesting potential for future inhibitor design.
Conclusions:
- Phage display strategies, while not yielding direct inhibitors, facilitated the development of a computational model for FP disruptors.
- The study provides a foundation for designing future pancoronaviral FP inhibitors based on structural insights.
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